Evidence map›Paper›PMID 22248528›Full record

ReviewActa tropica2012

Malaria in South Asia: prevalence and control.

Ashwani Kumar, Laura Chery, Chinmoy Biswas, Nagesh Dubhashi, Prafulla Dutta, Virendra Kumar Dua, Mridula Kacchap, Sanjeeb Kakati, Anar Khandeparkar, Dalip Kour and 13 more

Abstract readReview
In one paragraph

Review in Acta tropica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. ACS omega · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Evaluation of the Parasight Platform for Malaria Diagnosis.Journal of clinical microbiology · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Comparative assessment on the prevalence of mutations in the Plasmodium falciparum drug-resistant genes in two different ecotypes of Odisha state, India.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Ashwani KumarNational Institute of Malaria Research, Panaji, Goa, India.
Laura Chery
Chinmoy Biswas
Nagesh Dubhashi
Prafulla Dutta
Virendra Kumar Dua
Mridula Kacchap
Sanjeeb Kakati
Anar Khandeparkar
Dalip Kour
Satish N Mahajan
Ardhendu Maji
Partha Majumder
Jagadish Mohanta
Pradyumna K Mohapatra
Krishnamoorthy Narayanasamy
Krishnangshu Roy
Jayanthi Shastri
Neena Valecha
Rana Vikash
Reena Wani
John White
Pradipsinh K Rathod

Funding

Shared TechnologyU19AI089688 · NIAID · UNIVERSITY OF WASHINGTON · PI RATHOD, PRADIPSINH K. · 2010 to 2023
$22.4M
NIAID NIH HHS U19 AI089688
6 · The paper itself

Abstract

The "Malaria Evolution in South Asia" (MESA) program project is an International Center of Excellence for Malaria Research (ICEMR) sponsored by the US National Institutes of Health. This US-India collaborative program will study the origin of genetic diversity of malaria parasites and their selection on the Indian subcontinent. This knowledge should contribute to a better understanding of unexpected disease outbreaks and unpredictable disease presentations from Plasmodium falciparum and Plasmodium vivax infections. In this first of two reviews, we highlight malaria prevalence in India. In particular, we draw attention to variations in distribution of different human-parasites and different vectors, variation in drug resistance traits, and multiple forms of clinical presentations. Uneven malaria severity in India is often attributed to large discrepancies in health care accessibility as well as human migrations within the country and across neighboring borders. Poor access to health care goes hand in hand with poor reporting from some of the same areas, combining to possibly distort disease prevalence and death from malaria in some parts of India. Corrections are underway in the form of increased resources for disease control, greater engagement of village-level health workers for early diagnosis and treatment, and possibly new public-private partnerships activities accompanying traditional national malaria control programs in the most severely affected areas. A second accompanying review raises the possibility that, beyond uneven health care, evolutionary pressures may alter malaria parasites in ways that contribute to severe disease in India, particularly in the NE corridor of India bordering Myanmar Narayanasamy et al., 2012.

Indexed as

AnimalsAntimalarialsCommunicable Disease ControlCulicidaeDelivery of Health CareHealth PolicyHealth Services AccessibilityHumansIndiaMalariaMosquito ControlNational Health ProgramsPlasmodiumPrevalenceTransients and MigrantsAntimalarials

Identifiers

PMID22248528
PMCPMC3808995

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.